Citation Impact
Citing Papers
Deepfake detection using deep learning methods: A systematic and comprehensive review
2023 Standout
Re3 : Real-Time Recurrent Regression Networks for Object Tracking.
2017
Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
2010
ANN-Based Continual Classification in Agriculture
2020
Image analysis and machine learning in digital pathology: Challenges and opportunities
2016 Standout
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Computer Vision Enabled Building Digital Twin Using Building Information Model
2022 Standout
A survey of deep learning techniques for autonomous driving
2019 Standout
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
2019 Standout
Detecting fake images by identifying potential texture difference
2021
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
2020 Standout
Artificial Neural Networks in Agriculture
2021 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
Object Detection With Deep Learning: A Review
2019 Standout
Object Detection in 20 Years: A Survey
2023 Standout
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation
2022 Standout
Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey
2020
Works of Stefan Duffner being referenced
Class-balanced siamese neural networks
2017
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
2006
Low-Complexity Approximate Convolutional Neural Networks
2018
Deep and low-level feature based attribute learning for person re-identification
2018
Using Discriminative Motion Context for Online Visual Object Tracking
2015
Visual Focus of Attention Estimation With Unsupervised Incremental Learning
2015
Siamese multi-layer perceptrons for dimensionality reduction and face identification
2015